phonon44145 said:
That's not quite what I meant but it's conceptually close. I just don't understand how the photons can be statistically independent.
If it's a sum over Fock states, then the exact number of photons in the output must be indeterminate. But if it's indeterminate, doesn't that imply that we cannot write the output state as a product of photon states?
No, it does not imply that. The result of a single measurement of the photon number is indeterminate in the sense that it is not predictable. The mean result after many repeated measurements - the mean photon number - is instead well defined. Now in a coherent state the weights of each Fock state in the coherent state are given by a Poissonian distribution around a mean photon number. The result of a single measurement is indeterminate, but the probability to get a certain result is well known and given by a Poissonian distribution.
Now for photons to be statistically independent you need to fulfill the condition that the detection of a photon now must not change the probability to detect another one. While that sounds trivial, it is in fact absolutely not. Each detection event destroys one of your photons and should therefore decrease the probability of detecting another one. It turns out that for coherent states the photon number uncertainty exactly cancels this term that is introduced by the destruction of a photon.
Or if you are more math-oriented statistical independence means that the photon pair detection rate [tex]\langle n^2 \rangle[/tex] factorizes into the mean photon count rates [tex]\langle n \rangle^2.[/tex]
Now you can incorporate the fluctuating photon number as the momentary state of the light field being the mean photon number [tex]n[/tex] with some added fluctuation [tex]\delta n.[/tex]
So you have
[tex]\langle n^2 \rangle=\langle (\langle n \rangle+\delta n) (\langle n\rangle +\delta n -1) \rangle.[/tex]
The -1 comes from the destruction of a photon during the detection process. Now this is
[tex]\langle \langle n \rangle^2 -\langle n \rangle +(\delta n)^2 \rangle.[/tex]
All the terms linear in [tex]\delta n[/tex] vanish of course. As you see, this value depends on the variance [tex](\delta n)^2[/tex] of the photon number distribution. If [tex](\delta n)^2=\langle n \rangle[/tex] is fulfilled, you get factorization of the photon pair count rate into the product of the mean count rates. This is fulfilled for every distribution where the variance equals the mean. The best known one is the Poissonian distribution which brings us back to the beginning and to why a coherent state has Poissonian statistics.